Biomolecular mechanisms for signal differentiation

Summary: Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a vari...

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Autores principales:	Emmanouil Alexis, Carolin C.M. Schulte, Luca Cardelli, Antonis Papachristodoulou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Mathematical biosciences Systems biology Synthetic biology Science Q
Acceso en línea:	https://doaj.org/article/1ab9b7dc0d2749989dea1fd60c4b78dc
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id	oai:doaj.org-article:1ab9b7dc0d2749989dea1fd60c4b78dc
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spelling	oai:doaj.org-article:1ab9b7dc0d2749989dea1fd60c4b78dc2021-12-04T04:35:32ZBiomolecular mechanisms for signal differentiation2589-004210.1016/j.isci.2021.103462https://doaj.org/article/1ab9b7dc0d2749989dea1fd60c4b78dc2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2589004221014334https://doaj.org/toc/2589-0042Summary: Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behavior. In particular, we describe and analyze three alternative biomolecular topologies that are able to work as signal differentiators to input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components which are detrimental to the performance of most differentiators. We find that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology.Emmanouil AlexisCarolin C.M. SchulteLuca CardelliAntonis PapachristodoulouElsevierarticleMathematical biosciencesSystems biologySynthetic biologyScienceQENiScience, Vol 24, Iss 12, Pp 103462- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mathematical biosciences Systems biology Synthetic biology Science Q
spellingShingle	Mathematical biosciences Systems biology Synthetic biology Science Q Emmanouil Alexis Carolin C.M. Schulte Luca Cardelli Antonis Papachristodoulou Biomolecular mechanisms for signal differentiation
description	Summary: Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behavior. In particular, we describe and analyze three alternative biomolecular topologies that are able to work as signal differentiators to input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components which are detrimental to the performance of most differentiators. We find that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology.
format	article
author	Emmanouil Alexis Carolin C.M. Schulte Luca Cardelli Antonis Papachristodoulou
author_facet	Emmanouil Alexis Carolin C.M. Schulte Luca Cardelli Antonis Papachristodoulou
author_sort	Emmanouil Alexis
title	Biomolecular mechanisms for signal differentiation
title_short	Biomolecular mechanisms for signal differentiation
title_full	Biomolecular mechanisms for signal differentiation
title_fullStr	Biomolecular mechanisms for signal differentiation
title_full_unstemmed	Biomolecular mechanisms for signal differentiation
title_sort	biomolecular mechanisms for signal differentiation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/1ab9b7dc0d2749989dea1fd60c4b78dc
work_keys_str_mv	AT emmanouilalexis biomolecularmechanismsforsignaldifferentiation AT carolincmschulte biomolecularmechanismsforsignaldifferentiation AT lucacardelli biomolecularmechanismsforsignaldifferentiation AT antonispapachristodoulou biomolecularmechanismsforsignaldifferentiation
_version_	1718372897301463040

Biomolecular mechanisms for signal differentiation

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